This paper presents a reliability assessment for the undrained bearing capacity of a surface strip foundation based on the results of a probabilistic study in which the shear strength and unit weight of cement-treated ground are represented as random fields in Monte Carlo simulations of undrained stability using numerical limit analyses. The results show how the bearing capacity is related to the coefficient of variation and correlation length scale in both shear strength and unit weight. Based on the results, the authors propose an overdesign factor, tolerable percentage of defective core specimens, and resistance factors for LRFD ultimate limit state of surface footings on cement-treated ground in order to achieve a target reliability ind...
International audienceThis paper presents a probabilistic approach for the analysis and design of a ...
This paper describes a probabilistic study of the two dimensional bearing capacity of a vertically l...
Natural soil is one of the most variable materials as a result of physical and chemical changes. The...
AbstractThis paper presents a reliability assessment for the undrained bearing capacity of a surface...
International audienceThis paper presents the effect of the spatial variability of the soil shear st...
This paper investigates the probabilistic analysis of bearing capacity of strip footing resting onco...
AbstractThis paper aims to investigate the reliability of strip footing in the presence of spatially...
In this study, a probabilistic approach for evaluating the bearing capacity of surface footings is d...
International audienceA reliability-based analysis of a strip foundation subjected to a central vert...
Soils with spatially varying shear strengths are modeled using random field theory and elasto-plasti...
This paper presents an efficient method and its usage for the three-dimensional random bearing capac...
The present study considers the effect of variation of different geotechnical random variables in th...
This paper studies the effect of soil spatial variability on bearing capacity of shallow foundations...
The study considers the bearing capacity of eccentrically loaded strip footing on spatially variable...
In order to control serviceability problems arising from excessive settlement of shallow footings, g...
International audienceThis paper presents a probabilistic approach for the analysis and design of a ...
This paper describes a probabilistic study of the two dimensional bearing capacity of a vertically l...
Natural soil is one of the most variable materials as a result of physical and chemical changes. The...
AbstractThis paper presents a reliability assessment for the undrained bearing capacity of a surface...
International audienceThis paper presents the effect of the spatial variability of the soil shear st...
This paper investigates the probabilistic analysis of bearing capacity of strip footing resting onco...
AbstractThis paper aims to investigate the reliability of strip footing in the presence of spatially...
In this study, a probabilistic approach for evaluating the bearing capacity of surface footings is d...
International audienceA reliability-based analysis of a strip foundation subjected to a central vert...
Soils with spatially varying shear strengths are modeled using random field theory and elasto-plasti...
This paper presents an efficient method and its usage for the three-dimensional random bearing capac...
The present study considers the effect of variation of different geotechnical random variables in th...
This paper studies the effect of soil spatial variability on bearing capacity of shallow foundations...
The study considers the bearing capacity of eccentrically loaded strip footing on spatially variable...
In order to control serviceability problems arising from excessive settlement of shallow footings, g...
International audienceThis paper presents a probabilistic approach for the analysis and design of a ...
This paper describes a probabilistic study of the two dimensional bearing capacity of a vertically l...
Natural soil is one of the most variable materials as a result of physical and chemical changes. The...